Simple, unified interface to multiple Generative AI providers

Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs

Reference implementations of MLPerf™ inference benchmarks

A curated list of awesome places to learn and/or practice algorithms.

Publication-ready NN-architecture schematics.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

It contains interview preparation notes provided by iNeuron, important links, MLOps resources

Models and examples built with TensorFlow

Understanding Deep Learning - Simon J.D. Prince

Code examples to support various Computer Science materials

⭕ Share quick reference cheat sheet for developers.

Code release for NeRF (Neural Radiance Fields)

No-code multi-agent framework to build LLM Agents, workflows and applications with your data

A playbook for systematically maximizing the performance of deep learning models.

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…

Code for Tensorflow Machine Learning Cookbook

DeepStream SDK Python bindings and sample applications

An Invitation to 3D Vision: A Tutorial for Everyone

Model Zoo For OpenCV DNN and Benchmarks.

Tools to Design or Visualize Architecture of Neural Network

Educational materials for universities

Public facing notes page

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

SSD-based object and text detection with Keras, SSD, DSOD, TextBoxes, SegLink, TextBoxes++, CRNN

List of Computer Science courses with video lectures.

Script for downloading Coursera.org videos and naming them.

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

365 Days Computer Vision Learning Linkedin Post

A comprehensive repository containing 30+ notebooks on learning machine learning!