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A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.
Video+code lecture on building nanoGPT from scratch
A 4-hour coding workshop to understand how LLMs are implemented and used
Python SDK for running evaluations on LLM generated responses
Intrusion Detection system for smart city and jails. This includes Real time Video Analysis for Voice and facial expression recognition, Fire , Violence, Abduction, Tampering, Weapon and Crowd Dete…
Approaching (Almost) Any Machine Learning Problem
A curated list of open source repositories for AI Engineers
Tensorflow's Fairness Evaluation and Visualization Toolkit
A native Rust library for Delta Lake, with bindings into Python
SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open sour…
Litmus helps SREs and developers practice chaos engineering in a Cloud-native way. Chaos experiments are published at the ChaosHub (https://hub.litmuschaos.io). Community notes is at https://hackmd…
A fast and ergonomic concurrent hash-table for read-heavy workloads.
Anole: An Open, Autoregressive and Native Multimodal Models for Interleaved Image-Text Generation
How to be low-level programmer
ClickHouse® is a real-time analytics DBMS
Graphical Code Tracer (GCT): Visualize code at lightning speed
🚀 End-to-end examples and analysis of deploying LLMs serverless using Modal, Runpod, and Beam
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.