- Model Parallelism and Disaggregation from Scratch
- Prefix Caching and Cache-Aware Routing
- LLM Inference Mechanics: Prefill, Decode and the KV Cache
- Speculative Decoding from Scratch in PyTorch
- Serving Operations: Load Testing, Autoscaling and Safe Rollouts
- Trees, Ensembles and SVMs with Scikit-Learn
- Beyond Linearity: Splines and GAMs with Scikit-Learn
- Resampling, Model Selection and Regularization with Scikit-Learn
- Long Short-Term Memory from Scratch in PyTorch
- On-Device Model Compression Pipeline
- Matrix Multiplication Algorithms in CUDA
- Recurrent-Depth Latent Reasoning
- Looped Transformer from Scratch
- Autoencoders and GANs on Fashion-MNIST in PyTorch
- Char-RNN and Seq2Seq with Attention in PyTorch
- Time-Series Forecasting in PyTorch
- Make a Deep Net Converge in PyTorch
- Fashion-MNIST Classifier in PyTorch
- Unsupervised Learning: Segment, Detect, Propagate with Scikit-Learn
- Dimensionality Reduction: Compress MNIST with Scikit-Learn
- Decision Trees: CART, Checked Against Scikit-Learn
- MNIST Classifier Pipeline with Scikit-Learn
- California Housing, End to End with Scikit-Learn
- NextLat from Scratch: Next-Latent Prediction in PyTorch
- Kimi K3 from Scratch: KDA, Attention Residuals, and Stable LatentMoE
- Tiny GPT From Scratch
- Multimodal Autoregressive Image Generator from Scratch in JAX
- RLHF from Scratch on DistilGPT2
- Vision-Language Model from Scratch in PyTorch
- Trainable Mixture of Experts in CUDA
- Build a Mini LLM Inference Server
- Attention Is All You Need: Build the Transformer From Scratch
- Reinforcement Learning for Tic-Tac-Toe: From Minimax to DQN
- Build a Trainable CNN from Scratch in NumPy
- Build Your Own teenygrad: A Tiny Tensor Autograd Engine
- AlphaZero on Connect-4 from Scratch
- VeriLLM: Publicly Verifiable Decentralized LLM Inference from Scratch in PyTorch
- RAG Pipeline
- Full-Bandwidth Transformer from Scratch
- Sim-to-Real RL with Domain Randomization
- Honest Backtesting: A Walk-Forward Signal Evaluator
- Fused LLM Inference Kernels in CUDA
- Denoising Diffusion (DDPM) from Scratch
- Mamba from Scratch: Selective State Spaces
- Flash Attention in CUDA from Scratch
- NumPy Text Classifier from Scratch
- Recirculation from Scratch
- DiLoCo: Distributed Low-Communication Training of Language Models
- Direct Preference Optimization (DPO) from Scratch
- JEPA World Model from Scratch
- Mini Distributed Training and Memory-Constrained Trainer from Scratch in NumPy
- Neural Networks From Scratch: Forward and Backward
- Message-Passing GNNs from Scratch
- Rectified Flow from Scratch
- A/B Testing & Causal Inference Toolkit
- Post-Training Safety Eval Harness
- Sutton and Barto from Scratch 1: Bandits and Dynamic Programming
- NumPy House Price Regression
- Federated Averaging (FedAvg) from Scratch in PyTorch
- NumPy Multiple Linear Regression GD
- Market-Making & Betting-Game Simulator
- Random Forest from Scratch
- Support Vector Machine from Scratch
- Q-Learning on FrozenLake from Scratch
- Build an MLP in JAX from Scratch
- LoRA Fine-Tune a Tiny Chat Model with Unsloth
- Kaggle Notebooks Collection
- Quantum Pattern Search
- Quantum Gates, Circuits & Entanglement
- Qubit State Explorer
- Machine Learning Problems, Labs & Solutions
- Human Image Segmentation with PyTorch and U-Net
- Telecom Customer Churn Prediction with PySpark MLlib
- Character-Level Name Generation with TensorFlow
- Tweet Emotion Recognition with TensorFlow
- Pneumonia Classification with EfficientNet-B4 and PyTorch
- Facial Expression Recognition with EfficientNet-B0 and PyTorch
- Radio Signal Classification with PyTorch and EfficientNet-B0
- Aerial Image Segmentation with PyTorch U-Net
- Object Localization with PyTorch and EfficientNet-B0
- CNN Image Classification with PyTorch and Grad-CAM
- Credit Card Fraud Detection using GAN-Based Data Balancing
- Deep Learning with PyTorch: DCGAN for MNIST Handwritten Digit Generation
- Siamese Network with Triplet Loss for Person Re-Identification using PyTorch
- Fine-Tune BERT for Text Classification with TensorFlow
- Hyperparameter Tuning with Keras Tuner
- Transfer Learning for NLP with TensorFlow Hub
- Basic Image Classification with TensorFlow
- Object Localization with TensorFlow
- Keras Multitask CNN Dual Output
- CNN Filter Visualization using TensorFlow (VGG16)
- Principal Component Analysis (PCA) from scratch
- Linear Regression from scratch
- Logistic Regression from scratch
- Enterprise Knowledge Base Q&A System (RAG Implementation)
- YouTube Summarizer - Generative AI Content Pipeline
- Career Advisor Chatbot Web-App
- Sentiment Analysis of Real-time Flipkart Product Reviews
- Using MLflow for Experiment Tracking & Model Management
- Binary Classification Web-App: Mushroom Classifier
- Airline Tweet Sentiment Web-App
- Penguin Species Classifier Web-App
- Twitter Sentiment Analysis NLP
- Diabetes Prediction with PySpark MLlib
- Breast Cancer Classification with Logistic Regression
- Graduate Admission Prediction with PySpark ML
- Amazon Reviews Sentiment Analysis using NLP
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kimi-k3-from-scratch-kda-attention-residuals-and-stable-latentmoe
kimi-k3-from-scratch-kda-attention-residuals-and-stable-latentmoe PublicBuild every architectural innovation from the Kimi K3 technical report in numpy at toy scale: Kimi Delta Attention with lower-bounded decay and an exact chunkwise-parallel form, Gated MLA with NoPE…
Python 2
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tiny-gpt-from-scratch
tiny-gpt-from-scratch PublicBuild a small character-level GPT end-to-end in pure NumPy, starting from tokenization and array basics and ending with multi-head self-attention, Adam, and sampling. Each step grows the same codeb…
Python 1
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multimodal-autoregressive-image-generator-from-scratch-in-jax
multimodal-autoregressive-image-generator-from-scratch-in-jax PublicBuild a text-conditioned image generator end to end in JAX by training a VQ-VAE to turn tiny images into discrete tokens, then an autoregressive transformer that models text-prefixed token sequence…
Python 1
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rectified-flow-from-scratch
rectified-flow-from-scratch PublicBuild a complete rectified-flow / linear interpolant flow-matching generative model in pure PyTorch. Instead of a long discrete reverse chain that predicts noise, you learn a velocity field that tr…
Python 1
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reinforcement-learning-for-tic-tac-toe-from-minimax-to-dqn
reinforcement-learning-for-tic-tac-toe-from-minimax-to-dqn PublicBuild a complete Tic-Tac-Toe reinforcement learning lab from scratch: the game engine, minimax baselines, tabular Q-learning with self-play, and a deep Q-network agent, then compare value-based and…
Python 1
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verillm-publicly-verifiable-decentralized-llm-inference-from-scratch-in-pytorch
verillm-publicly-verifiable-decentralized-llm-inference-from-scratch-in-pytorch PublicBuild a minimal GPT-style transformer with a KV cache from scratch, then wrap its inference in a Merkle-commitment and spot-check protocol that lets untrusted workers serve LLM outputs verifiably. …
Python 1
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