961 skills found · Page 1 of 33
karpathy / Char RnnMulti-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
sherjilozair / Char Rnn TensorflowMulti-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
gabordemooij / RedbeanORM layer that creates models, config and database on the fly
frgfm / Torch CamClass activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
hunkim / Word Rnn TensorflowMulti-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
davebalmer / JoJo (0.5.0) is a thin (~16K) candy shell for making HTML5 apps. Jo works with: PhoneGap, Chrome, Safari, Opera, FireFox, iOS, Android, BlackBerry 10, Tizen, & Windows Phone 8+. Features include skinnable UI widgets, a clean event model and a light data layer.
Azure / Counterfita CLI that provides a generic automation layer for assessing the security of ML models
paulgavrikov / VisualkerasVisualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports layered style architecture generation which is great for CNNs (Convolutional Neural Networks), and a graph style architecture, which works great for most models including plain feed-forward networks.
riak-ripple / RippleA rich Ruby modeling layer for Riak, Basho's distributed database
JakobGM / PatitoA data modelling layer built on top of polars and pydantic
awwong1 / TorchprofPyTorch layer-by-layer model profiler
jagi / Meteor AstronomyModel layer for Meteor
pkunlp-icler / FastV[ECCV 2024 Oral] Code for paper: An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models
voidism / DoLaOfficial implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
archinetai / Surgeon PytorchA library to inspect and extract intermediate layers of PyTorch models.
thushv89 / Attention KerasKeras Layer implementation of Attention for Sequential models
whyzhow / PersonalStyleAI Framework Let AI think and express like you. This framework provides a complete assembly line: from the noise processing of original chat records, to the seamless switching of multi-model adaptation layers, to local lightweight fine-tuning (LoRA).
pratyushasharma / LaserThe Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
gulvarol / SmplpytorchSMPL body model layer for PyTorch
facebookresearch / MemoryMemory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, sparsely activated memory layers complement compute-heavy dense feed-forward layers, providing dedicated capacity to store and retrieve information cheaply.