TayJen's Stars
marinaramalhete/DeepLearningAI_NLP_Specialization
This repository is dedicated to course notebooks and personal notes from my learning during the specialization.
black-forest-labs/flux
Official inference repo for FLUX.1 models
practical-nlp/practical-nlp-code
Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
DarrenOfficial/dpaste
The Django project driving dpaste.org
UlionTse/mlgb
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。
romkatv/powerlevel10k
A Zsh theme
GeorgeQLe/Textbooks-and-Papers
qdrant/qdrant
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
prcutler/silversaucer
A webapp to interact with my music collection using FastAPI, Python and the Discogs API.
naklecha/llama3-from-scratch
llama3 implementation one matrix multiplication at a time
cgaroufis/MSSPT
Companion repository for the EUSIPCO-24 accepted paper "Pre-Training Music Classification Models via Music Source Separation"
ybayle/awesome-deep-learning-music
List of articles related to deep learning applied to music
deezer/semi_perso_user_cold_start
Source code from the KDD 2021 article "A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps" by L. Briand, G. Salha-Galvan, W. Bendada, M. Morlon and V.A. Tran
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
librosa/librosa
Python library for audio and music analysis
spotDL/spotify-downloader
Download your Spotify playlists and songs along with album art and metadata (from YouTube if a match is found).
ethen8181/machine-learning
:earth_americas: machine learning tutorials (mainly in Python3)
kojino/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
iamtodor/data-science-interview-questions-and-answers
Data science interview questions with answers. Not ideally (yet)
ultralytics/ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
ianarawjo/ChainForge
An open-source visual programming environment for battle-testing prompts to LLMs.
JaidedAI/EasyOCR
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
joonspk-research/generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
ternaus/people_segmentation
Code for the model to segment people at the image
paul-gauthier/aider
aider is AI pair programming in your terminal
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/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
dstackai/dstack
dstack is an open-source alternative to Kubernetes, designed to simplify development, training, and deployment of AI across any cloud or on-prem. It supports NVIDIA, AMD, and TPU.
facebookresearch/dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
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.