updated info

new-website/utils/tutorials/acknowledgement.md

@@ -1 +1,2 @@
-# Acknowledgement
+# Acknowledgement
+We acknowledge the DeepChem community for their contributions and support.

new-website/utils/tutorials/contents.md

@@ -1 +1,45 @@
-# Contents
+# Con
+About_nODE_Using_Torchdiffeq_in_Deepchem
+Advanced_Model_Training
+Advanced_model_training_using_hyperopt
+An_Introduction_To_MoleculeNet
+Atomic_Contributions_for_Molecules
+Conditional_Generative_Adversarial_Networks
+Creating_Models_with_TensorFlow_and_PyTorch
+Creating_a_high_fidelity_model_from_experimental_data
+DeepQMC_tutorial
+Deep_probabilistic_analysis_of_single-cell_omics_data
+Exploring_Quantum_Chemistry_with_GDB1k
+Generating_molecules_with_MolGAN
+Going_Deeper_on_Molecular_Featurizations
+Hierarchial_Moelcular_Generation_with_HierVAE
+Interactive_Model_Evaluation_with_Trident_Chemwidgets
+Introducing_JaxModel_and_PINNModel
+Introduction_To_Material_Science
+Introduction_to_Bioinformatics
+Introduction_to_Equivariance
+Introduction_to_GROVER
+Introduction_to_Gaussian_Processes
+Introduction_to_Graph_Convolutions
+Introduction_to_Model_Interpretability
+Introduction_to_Molecular_Attention_Transformer
+Large_Scale_Chemical_Screens
+Learning_Unsupervised_Embeddings_for_Molecules
+Modeling_Protein_Ligand_Interactions
+Modeling_Protein_Ligand_Interactions_With_Atomic_Convolutions
+Molecular_Fingerprints
+Multisequence_Alignments
+Physics_Informed_Neural_Networks
+Protein_Deep_Learning
+Putting_Multitask_Learning_to_Work
+PytorchLightning_Integration
+Scanpy
+The_Basic_Tools_of_the_Deep_Life_Sciences
+Training_a_Generative_Adversarial_Network_on_MNIST
+Training_a_Normalizing_Flow_on_QM9
+Training_an_Exchange_Correlation_Functional_using_Deepchem
+Transfer_Learning_With_ChemBERTa_Transformers
+Uncertainty_In_Deep_Learning
+Using_Reinforcement_Learning_to_Play_Pong
+Working_With_Datasets
+Working_With_Splitters