Name | Version | Summary | date |
goldenretriever-core |
1.0.0 |
Dense Retriever |
2024-07-09 12:22:51 |
adapter-transformers |
4.0.0 |
Deprecated adapter-transformers package. Use adapters package instead. |
2024-07-07 11:49:43 |
peft-patched |
0.9.3 |
Parameter-Efficient Fine-Tuning (PEFT) |
2024-07-04 23:26:28 |
transformers-backport |
4.33.4 |
transformers backport - version 4.33.x |
2024-07-04 23:15:53 |
gekko |
1.2.1 |
Machine learning and optimization for dynamic systems |
2024-07-04 03:05:02 |
larcv |
3.5.1 |
C++ IO and Preprocessing package for sparse neutrino data, with H5 for IO and python bindings. |
2024-06-24 16:16:42 |
dexter-cqa |
1.0.9 |
A Benchmark for Complex Heterogeneous Question answering |
2024-06-18 17:31:06 |
bcqa |
1.1.4 |
A Benchmark for Complex Heterogeneous Question answering |
2024-05-30 23:17:18 |
nnabla-ext-cuda120 |
1.39.0 |
A CUDA(12.0) and cuDNN(8.8.0) extension of NNabla |
2024-05-29 02:57:03 |
nnabla-ext-cuda116 |
1.39.0 |
A CUDA(11.6) and cuDNN(8.4.0) extension of NNabla |
2024-05-29 02:54:23 |
nnabla-rl |
0.15.0 |
Deep reinforcement learning library built on top of Neural Network Libraries |
2024-05-29 02:53:29 |
nnabla-ext-cuda110 |
1.39.0 |
A CUDA(11.0) and cuDNN(8.0.5) extension of NNabla |
2024-05-29 02:52:04 |
nnabla |
1.39.0 |
Neural Network Libraries |
2024-05-29 02:51:02 |
nanodl |
1.2.5.dev1 |
A Jax-based library for designing and training transformer models from scratch. |
2024-05-26 21:28:50 |
decalmlutils |
0.0.13 |
Useful functions when working with Machine Learning in Python |
2024-05-23 18:05:44 |
controlnet-aux |
0.0.9 |
Auxillary models for controlnet |
2024-05-23 03:26:25 |
diffusersv |
0.28.0.dev0 |
State-of-the-art diffusion in PyTorch and JAX. |
2024-05-17 02:57:47 |
corl |
3.16.2 |
Core ACT3 Reinforcement Learning (RL) Library - Core framework and base implementations of common things such as controllers, glues, observes, sensors, evaluation, and etc |
2024-04-12 14:29:54 |
souJpg-diffusers |
0.27.2 |
State-of-the-art diffusion in PyTorch and JAX. |
2024-03-25 00:20:06 |
saliency |
0.2.1 |
Framework-agnostic saliency methods |
2024-03-20 19:51:30 |