EshbanTheLearner's Stars
torvalds/linux
Linux kernel source tree
f/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
nomic-ai/gpt4all
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
twitter/the-algorithm
Source code for Twitter's Recommendation Algorithm
openai/openai-cookbook
Examples and guides for using the OpenAI API
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
hpcaitech/ColossalAI
Making large AI models cheaper, faster and more accessible
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
chenfei-wu/TaskMatrix
pola-rs/polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
openai/chatgpt-retrieval-plugin
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
jbhuang0604/awesome-computer-vision
A curated list of awesome computer vision resources
blue-yonder/tsfresh
Automatic extraction of relevant features from time series:
lucidrains/PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
roboflow/notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
qubvel/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
jonathan-bower/DataScienceResources
Open Source Data Science Resources.
khanhnamle1994/cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
shankarpandala/lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
rbhatia46/Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
ml874/Data-Science-Cheatsheet
merveenoyan/my_notes
My small cheatsheets for data science, ML, computer science and more.
tomasonjo/blogs
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
niconielsen32/ComputerVision
Muennighoff/sgpt
SGPT: GPT Sentence Embeddings for Semantic Search
facebookresearch/Sphere
Web-scale retrieval for knowledge-intensive NLP
shm007g/LLaMA-Cult-and-More
Large Language Models for All, 🦙 Cult and More, Stay in touch !
TaymoorAk/TaymoorAk