jorisparet
PhD in computational physics, with a strong interest in machine learning, deep learning and indie game development.
ITER OrganizationFrance
jorisparet's Stars
public-apis/public-apis
A collective list of free APIs
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
openai/whisper
Robust Speech Recognition via Large-Scale Weak Supervision
microsoft/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
karpathy/LLM101n
LLM101n: Let's build a Storyteller
huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
m-bain/whisperX
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
antimatter15/alpaca.cpp
Locally run an Instruction-Tuned Chat-Style LLM
bayesian-optimization/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
stanfordnlp/GloVe
Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings
tensorflow/nmt
TensorFlow Neural Machine Translation Tutorial
jdb78/pytorch-forecasting
Time series forecasting with PyTorch
scikit-optimize/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
https-deeplearning-ai/tensorflow-1-public
davabase/whisper_real_time
Real time transcription with OpenAI Whisper.
Nixtla/nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
feature-engine/feature_engine
Feature engineering package with sklearn like functionality
scikit-learn-contrib/boruta_py
Python implementations of the Boruta all-relevant feature selection method.
facebookincubator/submitit
Python 3.8+ toolbox for submitting jobs to Slurm
JoaquinAmatRodrigo/skforecast
Time series forecasting with machine learning models
fraunhoferportugal/tsfel
An intuitive library to extract features from time series.
rgerum/pylustrator
Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have different formats and shapes, the visualisations often have to be adapted to reflect the data as well as possible. We developed Pylustrator, an interface to directly edit python generated matplotlib graphs to finalize them for publication. Therefore, subplots can be resized and dragged around by the mouse, text and annotations can be added. The changes can be saved to the initial plot file as python code.
google/project-gameface
materialsvirtuallab/maml
Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.
moment-timeseries-foundation-model/moment
MOMENT: A Family of Open Time-series Foundation Models
cerlymarco/tspiral
A python package for time series forecasting with scikit-learn estimators.
vislearn/conditional_INNs
Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)
vislearn/analyzing_inverse_problems
Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)