mahii6991's Stars
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
marwashahid/Google-vertexai
Lightning-AI/lit-llama
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
weaviate/weaviate
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
karankishinani/Emotion-detection-from-text-using-PyTorch-and-Federated-Learning
Emotion detection from text using PyTorch and Federated Learning
pierpaolo28/Keeping-Learning
List of useful resources about Data, AI & Cloud
WillKoehrsen/hyperparameter-optimization
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
abhishekkrthakur/approachingalmost
Approaching (Almost) Any Machine Learning Problem
Nixtla/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
fcakyon/balanced-loss
Easy to use class balanced cross entropy and focal loss implementation for Pytorch
weimingwill/awesome-federated-learning
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
nnaisense/evotorch
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
scaleoutsystems/fedn
FEDn: An enterprise-ready, open federated learning framework. This repository contains the Python framework, CLI and API.
WillKoehrsen/ai-projects
Artificial Intelligence projects, documentation and code.
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
coiled/coiled-resources
Notebooks that support blog posts and tech talks on Dask / Coiled.
Diyago/Tabular-data-generation
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
DenisVorotyntsev/CategoricalEncodingBenchmark
Benchmarking different approaches for categorical encoding for tabular data
sdv-dev/CTGAN
Conditional GAN for generating synthetic tabular data.
jasonwei20/eda_nlp
Data augmentation for NLP, presented at EMNLP 2019
mahii6991/vision_transformer
Need to work on CV with the help of the my own dataset.
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
ritvikmath/YouTubeVideoCode
Code related to my YouTube vids!
mahii6991/Time-Series-Analysis
code and data for the time series analysis vids on my YouTube channel
mahii6991/pecan
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
rafalab/dsbook
Repository for data science book
openSUSE/obs-landing
The Open Build Service project landing page
processing/p5.js-website-legacy
Archived p5.js website 2015-2024
mhxion/awesome-discord-communities
A curated list of awesome Discord communities for programmers