ocesp98's Stars
langchain-ai/langchain
π¦π Build context-aware reasoning applications
OpenInterpreter/open-interpreter
A natural language interface for computers
hiyouga/LLaMA-Factory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
suno-ai/bark
π Text-Prompted Generative Audio Model
chenfei-wu/TaskMatrix
karpathy/LLM101n
LLM101n: Let's build a Storyteller
Vision-CAIR/MiniGPT-4
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
reflex-dev/reflex
πΈοΈ Web apps in pure Python π
facebookresearch/audiocraft
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
serengil/deepface
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
sinaptik-ai/pandas-ai
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
meta-llama/codellama
Inference code for CodeLlama models
IDEA-Research/Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Lightning-AI/litgpt
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
facebookresearch/seamless_communication
Foundational Models for State-of-the-Art Speech and Text Translation
abetlen/llama-cpp-python
Python bindings for llama.cpp
UX-Decoder/Segment-Everything-Everywhere-All-At-Once
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
neuralmagic/deepsparse
Sparsity-aware deep learning inference runtime for CPUs
stellargraph/stellargraph
StellarGraph - Machine Learning on Graphs
matheusfacure/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
haoheliu/AudioLDM2
Text-to-Audio/Music Generation
takuseno/d3rlpy
An offline deep reinforcement learning library
hildensia/bayesian_changepoint_detection
Methods to get the probability of a changepoint in a time series.
WillianFuks/tfcausalimpact
Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
benmiroglio/pymatch
jamalsenouci/causalimpact
Python port of CausalImpact R library