GitSanje's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
karpathy/LLM101n
LLM101n: Let's build a Storyteller
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
terryum/awesome-deep-learning-papers
The most cited deep learning papers
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
acdlite/react-fiber-architecture
A description of React's new core algorithm, React Fiber
karpathy/char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
udlbook/udlbook
Understanding Deep Learning - Simon J.D. Prince
reactjs/react-basic
A description of the conceptual model of React without implementation burden.
jpetazzo/container.training
Slides and code samples for training, tutorials, and workshops about Docker, containers, and Kubernetes.
greyhatguy007/Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
lukas/ml-class
Machine learning lessons and teaching projects designed for engineers
gordicaleksa/pytorch-original-transformer
My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
tinygrad/teenygrad
If tinygrad wasn't small enough for you...
ipenywis/react-solid
React S.O.L.I.D Principles for writing clean-code
greyhatguy007/Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
mesaugat/tech-companies-in-nepal
List of tech companies based or working in Nepal. 🇳🇵
ulrichstern/cuda-convnet
Alex Krizhevsky's original code from Google Code
amitness/ml-companies-in-nepal
Curated list of Machine Learning Companies in Nepal
keertipurswani/HHLD-YouTube
heyletscode/webrtc-videocall-javascript
steveazzolin/gdl_tutorial_turinginst
Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute
Borahb/Custom-OCR-YOLO
YOLO for custom object detection and passing the detected objects to Tesseract
team-approx-bayes/fromp
Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"
zaai-ai/large-language-models
Shreejan-git/ai_ml_companies_in_nepal
Helping AI/ ML/ DataScience practitioners and enthusiasts to get their dream job. Some are completely Nepal-based whereas some operate outside of the Nepal. Some are specially known for AI / ML whereas some has started to adopt AI / ML
rpacelli/FC_deep_bayesian_networks
Train fully connected networks of arbitrary depth in the bayesian setting. Code relevant to "A Statistical Mechanics framework for deep neural networks beyond the infinite-width limit"
doongz/cs50-ai
Harvard CS50’s: Introduction to Artificial Intelligence with Python
fzchriha/django-friendship
Add friends, send friend requests, accept, decline, delete