12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Examples and guides for using the OpenAI API

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

A guidance language for controlling large language models.

Instruct-tune LLaMA on consumer hardware

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

StableLM: Stability AI Language Models

llama3 implementation one matrix multiplication at a time

Companion webpage to the book "Mathematics For Machine Learning"

This repository contains implementations and illustrative code to accompany DeepMind publications

Flax is a neural network library for JAX that is designed for flexibility.

Python code for "Probabilistic Machine learning" book by Kevin Murphy

NYU Deep Learning Spring 2020

A course on aligning smol models.

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Optimized Stable Diffusion modified to run on lower GPU VRAM

Implement a reasoning LLM in PyTorch from scratch, step by step

List of papers, code and experiments using deep learning for time series forecasting

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.

Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Training LLMs with QLoRA + FSDP

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Contains files related to content and project of DSND Term 2

🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance m…