Add ANI model zoo (#169)

* add ANI model zoo

* Update cache_aev.py

torchani/resources/ani-1x_8x/train7/inputtrain.ipt

+!InputFile for Force Prediction Network
+sflparamsfile=rHCNO-5.2R_16-3.5A_a4-8.params
+ntwkStoreDir=networks/
+atomEnergyFile=sae_linfit.dat
+nmax=0! Maximum number of iterations (0 = inf)
+tolr=100! Tolerance - early stopping
+emult=0.5!Multiplier by eta after tol switch
+eta=0.001! Eta -- Learning rate
+tcrit=1.0E-5! Eta termination criterion
+tmax=0! Maximum time (0 = inf)
+tbtchsz=2560
+vbtchsz=2560
+gpuid=0
+ntwshr=0
+nkde=2
+energy=1
+force=0
+fmult=0.0
+pbc=0
+cmult =0.001
+runtype=ANNP_CREATE_HDNN_AND_TRAIN!Create and train a HDN network
+network_setup {
+  inputsize=384;
+  atom_net H $
+    layer [
+          nodes=160;
+          activation=9;
+          type=0;
+          l2norm=1;
+          l2valu=0.0001;
+    ]
+    layer [
+          nodes=128;
+          activation=9;
+          type=0;
+          l2norm=1;
+          l2valu=0.00001;
+    ]
+    layer [
+          nodes=96;
+          activation=9;
+          type=0;
+          l2norm=1;
+          l2valu=0.000001;
+    ]
+    layer [
+          nodes=1;
+          activation=6;
+          type=0;
+    ]
+    $
+  atom_net C $
+    layer [
+          nodes=144;
+          activation=9;
+          type=0;
+          l2norm=1;
+          l2valu=0.0001;
+    ]
+    layer [
+          nodes=112;
+          activation=9;
+          type=0;
+          l2norm=1;
+          l2valu=0.00001;
+    ]
+    layer [
+          nodes=96;
+          activation=9;
+          type=0;
+          l2norm=1;
+          l2valu=0.000001;
+    ]
+    layer [
+          nodes=1;
+          activation=6;
+          type=0;
+    ]
+    $
+  atom_net N $
+    layer [
+          nodes=128;
+          activation=9;
+          type=0;
+          l2norm=1;
+          l2valu=0.0001;
+    ]
+    layer [
+          nodes=112;
+          activation=9;
+          type=0;
+          l2norm=1;
+          l2valu=0.00001;
+    ]
+    layer [
+          nodes=96;
+          activation=9;
+          type=0;
+          l2norm=1;
+          l2valu=0.000001;
+    ]
+    layer [
+          nodes=1;
+          activation=6;
+          type=0;
+    ]
+    $
+  atom_net O $
+    layer [
+          nodes=128;
+          activation=9;
+          type=0;
+          l2norm=1;
+          l2valu=0.0001;
+    ]
+    layer [
+          nodes=112;
+          activation=9;
+          type=0;
+          l2norm=1;
+          l2valu=0.00001;
+    ]
+    layer [
+          nodes=96;
+          activation=9;
+          type=0;
+          l2norm=1;
+          l2valu=0.000001;
+    ]
+    layer [
+          nodes=1;
+          activation=6;
+          type=0;
+    ]
+    $
+
+}
+adptlrn=OFF ! Adaptive learning (OFF,RMSPROP)
+decrate=0.9 !Decay rate of RMSPROP
+moment=ADAM! Turn on momentum or nesterov momentum (OFF,CNSTTEMP,TMANNEAL,REGULAR,NESTEROV)
+mu=0.99 ! Mu factor for momentum
+