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Senior ML Scientist @SAP
- San Francisco, CA, USA
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02:45
(UTC -07:00) - ashutoshhathidara.com
- in/ashutosh1919
- @ashutosh_1919
- layman_brother
- laymanbrother.19
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All Algorithms implemented in Python
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
A high-throughput and memory-efficient inference and serving engine for LLMs
šš¤ Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
A natural language interface for computers
Interact with your documents using the power of GPT, 100% privately, no data leaks
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
š¤ Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Graph Neural Network Library for PyTorch
A list of developer portfolios for your inspiration
verl: Volcano Engine Reinforcement Learning for LLMs
The absolute trainer to light up AI agents.
Convert Machine Learning Code Between Frameworks
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Source code for Twitter's Recommendation Algorithm
A python library for user-friendly forecasting and anomaly detection on time series.
Pytorch implementation of convolutional neural network visualization techniques
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
A library to generate LaTeX expression from Python code.
Official repo for consistency models.
A simple and efficient tool to parallelize Pandas operations on all availableĀ CPUs
PyTorch extensions for high performance and large scale training.
The official repo of MiniMax-Text-01 and MiniMax-VL-01, large-language-model & vision-language-model based on Linear Attention




