Anshuman Mishra

Results 18 issues of Anshuman Mishra

## 🚀 Feature File : [deepchem/models/fcnet.py](https://github.com/deepchem/deepchem/blob/master/deepchem/models/fcnet.py) ## Motivation `MultiTaskClassifier` and `MultiTaskRegressor` have a subclass `PyTorchImpl` which implements a torch.nn.Module If we decouple this subclass from TorchModel wrapper as in #2963...

Porting GAN to PyTorch is a subproject under, `Deepchem Open Source Fellowship` funded by [Deep Forest Sciences](https://deepforestsci.com/) This PR adds `GAN` and `WGAN` class and adds suitable unit tests. #...

## ❓ Questions & Help While we call `model.fit()` in deepchem models, it doesn't show any indicator which would tell us how many epochs (or %) training has been completed,...

## 🚀 Feature **Neural Differential equation** are a new variety of layers for neural networks , securing place in Deepchem Model wishlist . I hereby propose following API for the...

### Description This PR is an attempt to fix the `conda init` ran as root, to initialize conda environment for all the users ! #9083 ### Checklist - did you...

# Pull Request Template Through this Pull Request I'll be contributing the proposed NeuralODE API to deepchem, through [this](https://docs.google.com/document/d/1pwu72pVCHhwO1f58gppAx5xD4NUM3hMo8YrwBaMuW9c/edit?usp=sharing) design document. #2680 ## Type of change Please check the option...

I'm interested in contributing to this repository but cannot find the perfect place to start. I've experience in building LLMs from scratch. Would like to ask if there is any...

## Add support for loading huggingface model checkpoints in KerasNLP backbones **Is your feature request related to a problem? Please describe.** As of now KerasNLP backbones load pretrained weights of...

type:feature
infra

Will work on this parallel to #1146 https://keras.io/examples/generative/text_generation_gpt/

type:docs
stat:contributions welcome
stale

Link : https://github.com/keras-team/keras-io/blob/master/examples/nlp/data_parallel_training_with_keras_nlp.py The tutorial was originally written in Keras, we need to port this to Keras Core with multi backend support.

type:docs
stat:contributions welcome
stale