Nabagata's Stars
meta-llama/llama
Inference code for Llama models
charlax/professional-programming
A collection of learning resources for curious software engineers
karanpratapsingh/system-design
Learn how to design systems at scale and prepare for system design interviews
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
ashishps1/awesome-system-design-resources
Learn System Design concepts and prepare for interviews using free resources.
tensorflow/tfjs
A WebGL accelerated JavaScript library for training and deploying ML models.
arialdomartini/Back-End-Developer-Interview-Questions
A list of back-end related questions you can be inspired from to interview potential candidates, test yourself or completely ignore
systemdesign42/system-design
A resource to help you become good at work 👇
tensorflow/tfjs-models
Pretrained models for TensorFlow.js
microsoft/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
karpathy/minbpe
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
yemount/pose-animator
microsoft/nlp-recipes
Natural Language Processing Best Practices & Examples
yfeng95/face3d
Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.
AakashKumarNain/annotated_research_papers
This repo contains annotated research papers that I found really good and useful
aws-samples/aws-machine-learning-university-accelerated-nlp
Machine Learning University: Accelerated Natural Language Processing Class
abhishekkrthakur/colabcode
Run VSCode (codeserver) on Google Colab or Kaggle Notebooks
aws-samples/aws-machine-learning-university-accelerated-cv
Machine Learning University: Accelerated Computer Vision Class
aws-samples/aws-machine-learning-university-accelerated-tab
Machine Learning University: Accelerated Tabular Data Class
cunjian/pytorch_face_landmark
Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.
facebookresearch/madgrad
MADGRAD Optimization Method
ibrahimjelliti/Deeplearning.ai-Natural-Language-Processing-Specialization
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
rouseguy/TimeSeriesAnalysiswithPython
Time Series Analysis with Python
wandb/awesome-dl-projects
This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
rjtavares/football-crunching
Analysis and datasets about football (soccer)
ibrahima92/fullstack-typescript-mern-todo
Full-stack TypeScript App with React, Nodejs and MongoDB
planetoftheweb/reactinterface2
Repository for the second version of my React Interface course on LinkedIn Learning and Lynda.com
mjedynak/builder-generator-idea-plugin
dsoellinger/Full-Stack-Web-Dev-with-React-Specialization
Course Material / Full-Stack Web Development with React Specialization (Coursera)
PrivateKit/NIST_BLE_challenge