Ido Amit's Projects
"Boom" app to manage recorded lectures for courses
A package to evaluate factuality of long-form generation. Original implementation the EMNLP 2023 paper "FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation"
Final project in adversarial training course
introduction to GitHub
Config files for my GitHub profile.
Intro to AI course's HW
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
A library for researching neural networks compression and acceleration methods.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
š¤ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.