kumarh1982's Stars
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
rasbt/LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
karpathy/char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
karpathy/convnetjs
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
bigscience-workshop/petals
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
karpathy/minbpe
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
iamtrask/Grokking-Deep-Learning
this repository accompanies the book "Grokking Deep Learning"
dair-ai/Mathematics-for-ML
🧮 A collection of resources to learn mathematics for machine learning
NVIDIA/GenerativeAIExamples
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
karpathy/cryptos
Pure Python from-scratch zero-dependency implementation of Bitcoin for educational purposes
dair-ai/Transformers-Recipe
🧠 A study guide to learn about Transformers
karpathy/recurrentjs
Deep Recurrent Neural Networks and LSTMs in Javascript. More generally also arbitrary expression graphs with automatic differentiation.
rampasek/GraphGPS
Recipe for a General, Powerful, Scalable Graph Transformer
karpathy/svmjs
Support Vector Machine in Javascript (SMO algorithm, supports arbitrary kernels) + GUI demo
karpathy/lecun1989-repro
Reproducing Yann LeCun 1989 paper "Backpropagation Applied to Handwritten Zip Code Recognition", to my knowledge the earliest real-world application of a neural net trained with backpropagation.
pmulard/machine-learning-specialization-andrew-ng
A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.
arpit20adlakha/Computer-Science-Papers-For-System-Design
facebookresearch/hyperreel
Code release for HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling
derjust/spring-data-dynamodb
This module deals with enhanced support for a data access layer built on AWS DynamoDB.
lzw-lzw/GroundingGPT
[ACL 2024] GroundingGPT: Language-Enhanced Multi-modal Grounding Model
thundergolfer/google-rules-of-machine-learning
Github mirror of M. Zinkevich's "Rules of Machine Learning" style guide, with extra goodness.
karpathy/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
gwthomas/math4ml
Notes on mathematical topics that pertain to machine learning
amzn/image-to-recipe-transformers
Code for CVPR 2021 paper: Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning
gwthomas/force
A library for reinforcement learning research
robolaunch/robolaunch
robolaunch is a Cloud Robotics Platform that provides the end-to-end infrastructure, software stack and tools for developing, simulating, deploying and operating ROS/ROS2 robots at scale.
DJDarkCyber/Data-Science-Books
Complete end to end Datascience Books for various Application
ramesh130/SCPD-AI
Artificial Intelligence Graduate Certificate - Stanford